Datasets:

EEGDash
/

ds007615

pretty_name: LDAEP and resting-state EEG in healthy women
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - auditory
  - perception
size_categories:
  - n<1K
task_categories:
  - other

LDAEP and resting-state EEG in healthy women

Dataset ID: ds007615

Normannseth2026

Canonical aliases: Normannseth2026

At a glance: EEG · Auditory perception · healthy · 69 subjects · 192 recordings · CC0

Load this dataset

This repo is a pointer. The raw EEG data lives at its canonical source (OpenNeuro / NEMAR); EEGDash streams it on demand and returns a PyTorch / braindecode dataset.

# pip install eegdash
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds007615", cache_dir="./cache")
print(len(ds), "recordings")

You can also load it by canonical alias — these are registered classes in eegdash.dataset:

from eegdash.dataset import Normannseth2026
ds = Normannseth2026(cache_dir="./cache")

If the dataset has been mirrored to the HF Hub in braindecode's Zarr layout, you can also pull it directly:

from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds007615")

Dataset metadata


Subjects	69
Recordings	192
Tasks (count)	2
Channels	68 (×192)
Sampling rate (Hz)	2048 (×192)
Total duration (h)	18.5
Size on disk	34.6 GB
Recording type	EEG
Experimental modality	Auditory
Paradigm type	Perception
Population	Healthy
Source	openneuro
License	CC0

LDAEP and resting-state EEG in healthy women

Load this dataset

Dataset metadata

Links